Triple

T12594164
Position Surface form Disambiguated ID Type / Status
Subject Troinex E300690 entity
Predicate hasNeighboringFrenchCommune P28600 FINISHED
Object Archamps
Archamps is a commune in southeastern France’s Haute-Savoie department, near the Swiss border and the city of Geneva.
E1017555 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Archamps | Statement: [Troinex, hasNeighboringFrenchCommune, Archamps]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Archamps
Context triple: [Troinex, hasNeighboringFrenchCommune, Archamps]
  • A. Tournus
    Tournus is a historic town in eastern France’s Burgundy region, known for its Romanesque abbey and riverside setting along the Saône.
  • B. Écully
    Écully is a suburban commune in eastern France, located just west of Lyon and known for hosting prestigious institutions such as the École Centrale de Lyon and the Paul Bocuse Institute.
  • C. Chamblon
    Chamblon is a small municipality in the canton of Vaud in western Switzerland.
  • D. Lubersac
    Lubersac is a small commune in the Corrèze department of south-central France, known for its rural character and traditional Limousin heritage.
  • E. Couëron
    Couëron is a commune in western France situated near Nantes along the Loire River in the Loire-Atlantique department.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Archamps
Triple: [Troinex, hasNeighboringFrenchCommune, Archamps]
Generated description
Archamps is a commune in southeastern France’s Haute-Savoie department, near the Swiss border and the city of Geneva.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Archamps
Target entity description: Archamps is a commune in southeastern France’s Haute-Savoie department, near the Swiss border and the city of Geneva.
  • A. Tournus
    Tournus is a historic town in eastern France’s Burgundy region, known for its Romanesque abbey and riverside setting along the Saône.
  • B. Écully
    Écully is a suburban commune in eastern France, located just west of Lyon and known for hosting prestigious institutions such as the École Centrale de Lyon and the Paul Bocuse Institute.
  • C. Chamblon
    Chamblon is a small municipality in the canton of Vaud in western Switzerland.
  • D. Lubersac
    Lubersac is a small commune in the Corrèze department of south-central France, known for its rural character and traditional Limousin heritage.
  • E. Couëron
    Couëron is a commune in western France situated near Nantes along the Loire River in the Loire-Atlantique department.
  • F. None of above. chosen

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d7bdea2ca881908f379526c13b1145 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d954cde3c0819094e74413d6dcf548 completed April 10, 2026, 7:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6cbb2a1088190974e9736873466d1 completed May 3, 2026, 4:14 a.m.
NEDg Description generation batch_69f6ce6278e081908864fba1db23ada0 completed May 3, 2026, 4:26 a.m.
NED2 Entity disambiguation (via description) batch_69f6cf547b188190b24c51e06a3b4d3c completed May 3, 2026, 4:30 a.m.
Created at: April 9, 2026, 5:08 p.m.